2023 IEEE Wireless Communications and Networking Conference (WCNC)最新文献_第3页

Joint Base Station Sleeping and Functional Split Orchestration in Crosshaul-Based V-RAN 基于交叉协议的V-RAN中的联合基站休眠与功能分裂编排

2023 IEEE Wireless Communications and Networking Conference (WCNC) Pub Date : 2023-03-01 DOI: 10.1109/WCNC55385.2023.10118886

Zhenghe Zhu, Hang Li, Yawen Chen, X. Wen, Zhaoming Lu, Luhan Wang

{"title":"Joint Base Station Sleeping and Functional Split Orchestration in Crosshaul-Based V-RAN","authors":"Zhenghe Zhu, Hang Li, Yawen Chen, X. Wen, Zhaoming Lu, Luhan Wang","doi":"10.1109/WCNC55385.2023.10118886","DOIUrl":"https://doi.org/10.1109/WCNC55385.2023.10118886","url":null,"abstract":"The intensive deployment of base stations (BSs) in the radio access network (RAN) incurs huge energy consumption and operating overheads. Although the centralized RAN (C-RAN) architecture can significantly relieve the BS overheads by centralizing BS functions, the strict front-haul requirements of C-RAN make it challenging to realize a fully centralized RAN. Recently, the virtualized RAN (V-RAN) architecture has been proposed, allowing flexible function split (FS) and crosshaul to balance the centralization and mid-haul requirements. On the other hand, considering the tidal effect of traffic, sleep some BSs with low loads and migrating their traffic to other BSs is an effective way to further reduce energy consumption. In this paper, we investigate joint BS sleeping and FS orchestration in crosshaul-based V-RAN that jointly optimizes BS working mode, FS, traffic migration, and routing selection. The joint optimization model is formulated as a mixed-integer nonlinear programming (MINLP) that minimizes total expenditure, including RAN energy consumption and operating overheads. Considering the complexity of the problem, we propose a heuristic algorithm to solve it in polynomial time. Simulation results validate that our algorithm can save significant expenditure compared to baselines, and the results can reach within 1.13 times the optimum in a relatively short time.","PeriodicalId":259116,"journal":{"name":"2023 IEEE Wireless Communications and Networking Conference (WCNC)","volume":"41 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114737268","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

An Efficient Visible Light Positioning and Rotation Estimation System Using Two LEDs and a Photodiode Array 利用两个led和一个光电二极管阵列的高效可见光定位和旋转估计系统

2023 IEEE Wireless Communications and Networking Conference (WCNC) Pub Date : 2023-03-01 DOI: 10.1109/WCNC55385.2023.10118745

Yongbin Gong, J. Yang, Di Miao, Yuzheng Yang, Ziyi Han, Jingrui Li, Bingcheng Zhu, Lanting Fang, Liang Chen

引用次数: 1

Performance Analysis of Multiple Optical Reflecting Surfaces Assisted FSO Communication 多光反射面辅助FSO通信性能分析

2023 IEEE Wireless Communications and Networking Conference (WCNC) Pub Date : 2023-03-01 DOI: 10.1109/WCNC55385.2023.10118738

Narendra Vishwakarma, R. Swaminathan

{"title":"Performance Analysis of Multiple Optical Reflecting Surfaces Assisted FSO Communication","authors":"Narendra Vishwakarma, R. Swaminathan","doi":"10.1109/WCNC55385.2023.10118738","DOIUrl":"https://doi.org/10.1109/WCNC55385.2023.10118738","url":null,"abstract":"The deployment of intelligent reflecting surfaces (IRSs) in wireless communication systems have recently garnered much attention due to its potential to reduce blockages by providing an alternate propagation path and improving reliability. This paper reports the performance analysis of multiple optical reflecting surfaces (ORSs)-assisted free space optics (FSO) communication. Specifically, the performance is investigated by utilizing the selection of the best ORS from the multiple available ORSs. Firstly, we have derived the exact probability density function (PDF) of the end-to-end maximum instantaneous signal-to-noise ratio (SNR) among multiple ORSs-aided FSO links. Further, using the above PDF statistics, the outage and average symbol error rate (SER) expressions of the considered multiple ORSs system are derived in closed-form. Additionally, the asymptotic expressions, which are mathematically more tractable, for both outage and average SER are presented with the diversity gain analysis. Finally, numerical results along with Monte-Carlo simulation results are provided to corroborate the derived analytical results.","PeriodicalId":259116,"journal":{"name":"2023 IEEE Wireless Communications and Networking Conference (WCNC)","volume":"6 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128090766","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Experimental Characterization of Connectivity for ProSe Direct Discovery in Emergency Scenarios for 6G 6G紧急情况下散文直接发现连通性的实验表征

2023 IEEE Wireless Communications and Networking Conference (WCNC) Pub Date : 2023-03-01 DOI: 10.1109/WCNC55385.2023.10118649

Ali Masood, M. Alam, Y. Moullec

{"title":"Experimental Characterization of Connectivity for ProSe Direct Discovery in Emergency Scenarios for 6G","authors":"Ali Masood, M. Alam, Y. Moullec","doi":"10.1109/WCNC55385.2023.10118649","DOIUrl":"https://doi.org/10.1109/WCNC55385.2023.10118649","url":null,"abstract":"Device-to-device (D2D) enables direct communication between two-user equipment (UEs) with or without the involvement of a base station (BS). D2D communication is a vital paradigm for designing a reliable public safety network (PSN) and supports several services in the sixth generation (6G) such as target monitoring, emergency search and rescue, etc. This paper presents the measurement campaign to characterize the performance of ProSe direct discovery in terms of connectivity. Furthermore, we implement and analyse two supervised learning models: multiple linear regression (MLR) and multiple non-linear regression (MNLR) using the least squares method to predict the probability of direct discovery in PS out-of-coverage scenarios. Experimental data collected in real-time heterogeneous environments has been used to train both models. The comparative analysis indicates that MNLR model is 6 % more efficient compared to MLR model to predict the discovery probability. The impact of this work is that it is possible to deploy the equipment to build reliable connectivity for efficient D2D networks in out-of-coverage emergency scenarios, and can bring intelligence to the UE level to adopt the optimal parameters to establish a stable D2D link.","PeriodicalId":259116,"journal":{"name":"2023 IEEE Wireless Communications and Networking Conference (WCNC)","volume":"333 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131460129","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Improving Platooning Safety with Full Duplex Relaying and Beamforming 利用全双工中继和波束形成提高队列安全性

2023 IEEE Wireless Communications and Networking Conference (WCNC) Pub Date : 2023-03-01 DOI: 10.1109/WCNC55385.2023.10118843

Tobias Hardes, Florian Klingler, C. Sommer

引用次数: 0

LSTM-based generation of cellular network traffic 基于lstm的蜂窝网络流量生成

2023 IEEE Wireless Communications and Networking Conference (WCNC) Pub Date : 2023-03-01 DOI: 10.1109/WCNC55385.2023.10119094

Anne Josiane Kouam, A. C. Viana, A. Tchana

引用次数: 0

Sensing-Assisted Neighbor Discovery for Vehicular Ad Hoc Networks 基于感知辅助的车载Ad Hoc网络邻居发现

2023 IEEE Wireless Communications and Networking Conference (WCNC) Pub Date : 2023-03-01 DOI: 10.1109/WCNC55385.2023.10118682

Yuyang Liu, Songlin Sun, Ronghui Zhang

引用次数: 0

Environment-Aware Adaptive Transmission for Adaptive Video Streaming Based on Edge Computing in High-speed rail Scenarios 高铁场景下基于边缘计算的自适应视频流环境感知自适应传输

2023 IEEE Wireless Communications and Networking Conference (WCNC) Pub Date : 2023-03-01 DOI: 10.1109/WCNC55385.2023.10119122

Luyao Wang, Jia Guo, Jinqi Zhu, Ye Zhu, Yanmin Wei, Jinao Wang, Heying Song, Xiangyang Gong

{"title":"Environment-Aware Adaptive Transmission for Adaptive Video Streaming Based on Edge Computing in High-speed rail Scenarios","authors":"Luyao Wang, Jia Guo, Jinqi Zhu, Ye Zhu, Yanmin Wei, Jinao Wang, Heying Song, Xiangyang Gong","doi":"10.1109/WCNC55385.2023.10119122","DOIUrl":"https://doi.org/10.1109/WCNC55385.2023.10119122","url":null,"abstract":"As High-speed rail becomes a popular way to travel, users have a high demand for streaming services. In High-speed rail scenarios, users move fast and base stations handover frequently. Most of the existing network bandwidth prediction algorithms and bitrate selection algorithms are proposed based on low-speed scenarios. These algorithms are difficult to adapt to high-speed mobile scenarios. To solve this problem, this paper proposes an adaptive streaming media transmission method using edge computing, High-speed rail status and cross-layer information (EHCI) in the 5G network environment. Firstly, a QoE model and a coordinated transmission architecture using edge computing, High-speed rail operation status and cross-layer information are proposed. Secondly, a media transcoding algorithm and rate selection algorithm are proposed. Finally, the simulation experiment is carried out in this paper. Simulation results demonstrate that the method proposed in this paper can well improve the QoE of High-speed rail passengers, and is helpful to the study of the optimized transmission of streaming media in High-speed rail scenarios.","PeriodicalId":259116,"journal":{"name":"2023 IEEE Wireless Communications and Networking Conference (WCNC)","volume":"48 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132730649","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

5GNR Indoor Positioning By Joint DL-TDoA and DL-AoD 利用DL-TDoA和DL-AoD联合进行5GNR室内定位

2023 IEEE Wireless Communications and Networking Conference (WCNC) Pub Date : 2023-03-01 DOI: 10.1109/WCNC55385.2023.10119056

Mohsen Ahadi, F. Kaltenberger

{"title":"5GNR Indoor Positioning By Joint DL-TDoA and DL-AoD","authors":"Mohsen Ahadi, F. Kaltenberger","doi":"10.1109/WCNC55385.2023.10119056","DOIUrl":"https://doi.org/10.1109/WCNC55385.2023.10119056","url":null,"abstract":"Positioning a user terminal based on cellular signals is an attractive solution in situations where accurate positioning based on global navigation satellite systems (GNSS) is not possible, such as inside buildings. The 5G New Radio (NR) networks based on 3GPP have introduced several enhanced features to allow the accurate positioning of user terminals. Especially Frequency Range 2 (FR2) mmWave setups are attractive for localization because the large bandwidths allow for high-resolution estimation of the Time Difference of Arrival (TDoA) while the beamforming capabilities can be exploited to estimate the Angle of Arrival (AoA) or Angle of Departure (AoD) of the signals.In this work, we propose a new UE-based positioning algorithm that combines the Downlink Time Difference of Arrival (DL-TDoA) and Downlink Angle of Departure (DL-AoD) information estimated from the downlink positioning reference signals (DL-PRS) introduced in 3GPP Rel-16. TDoA is a widely used horizontal positioning technique that does not require tight synchronization between base stations and mobile stations. Moreover, multiple antennas beamforming on base stations leads to high vertical positioning accuracy with AoD. We use ray-tracing-based site-specific channel models to evaluate our joint positioning algorithm’s performance in an Indoor Factory (InF) scenario. The simulation results show sub-meter user localization error which is a significant improvement compared to applying the previous methods separately.","PeriodicalId":259116,"journal":{"name":"2023 IEEE Wireless Communications and Networking Conference (WCNC)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128866038","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

SCFL: An Efficient Cross-cluster Federated Learning Framework Based on State Channels 基于状态通道的高效跨集群联邦学习框架

2023 IEEE Wireless Communications and Networking Conference (WCNC) Pub Date : 2023-03-01 DOI: 10.1109/WCNC55385.2023.10118988

Zhipeng Gao, Lijia Zhang, Yi-Lan Lin, Yue Song, Yang Yang

{"title":"SCFL: An Efficient Cross-cluster Federated Learning Framework Based on State Channels","authors":"Zhipeng Gao, Lijia Zhang, Yi-Lan Lin, Yue Song, Yang Yang","doi":"10.1109/WCNC55385.2023.10118988","DOIUrl":"https://doi.org/10.1109/WCNC55385.2023.10118988","url":null,"abstract":"Blockchain-based Federated learning, called BFL, has attracted widespread attention to construct trust among multiple parties and solve a single point of failure of the central server while protecting privacy. Many researches utilize cluster and cross-chain technologies to improve poor model quality and interoperability between clusters. However, those researches still suffer from 1) high communication overhead when devices of clusters locate far away, and 2) high consensus latency since devices require frequent interactions on consensus. In this paper, we propose a cross-cluster federated learning framework based on state channels, called SCFL, to split devices into multiple clusters according to locations. We also propose a cross-cluster consensus algorithm based on cross-chain and state channels to improve the security and efficiency of off-chain and inter-chain interactions. And we also propose a hierarchical clustering method to make the model adaptable to the partition scenarios where the data is non-IID. Numerical results show that SCFL can effectively solve data sparse problems and improve the system efficiency in non-IID data partitioning cases.","PeriodicalId":259116,"journal":{"name":"2023 IEEE Wireless Communications and Networking Conference (WCNC)","volume":"40 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134621727","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0